SCONCE2: jointly inferring single cell copy number profiles and tumor evolutionary distances
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1471-2105
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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online resource.
- Bibliographic citation
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SCONCE2: jointly inferring single cell copy number profiles and tumor evolutionary distances ; volume:23 ; number:1 ; day:19 ; month:8 ; year:2022 ; pages:1-23 ; date:12.2022
BMC bioinformatics ; 23, Heft 1 (19.8.2022), 1-23, 12.2022
- Creator
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Hui, Sandra
Nielsen, Rasmus
- Contributor
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SpringerLink (Online service)
- DOI
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10.1186/s12859-022-04890-w
- URN
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urn:nbn:de:101:1-2022110821042669450288
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
16.08.2225, 12:36 AM CEST
Data provider
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Associated
- Hui, Sandra
- Nielsen, Rasmus
- SpringerLink (Online service)
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Improved measures for evolutionary conservation that exploit taxonomy distances
Estimating true evolutionary distances under rearrangements, duplications, and losses
A danger of low copy numbers for inferring incorrect cooperativity degree
Evolutionary impact of copy number variation rates
Beyond congruence: evidential integration and inferring the best evolutionary scenario
Estimating evolutionary distances between genomic sequences from spaced-word matches
Covariance of maximum likelihood evolutionary distances between sequences aligned pairwise
Comparison of phylogenetic trees through alignment of embedded evolutionary distances
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On inferring evolutionary stability in finite populations using infinite population models
Inferring copy number and genotype in tumour exome data
Inferring the evolutionary histories of gibbons from DNA sequences
Improved measures for evolutionary conservation that exploit taxonomy distances
Estimating true evolutionary distances under rearrangements, duplications, and losses
A danger of low copy numbers for inferring incorrect cooperativity degree
Evolutionary impact of copy number variation rates
Beyond congruence: evidential integration and inferring the best evolutionary scenario
Estimating evolutionary distances between genomic sequences from spaced-word matches
Covariance of maximum likelihood evolutionary distances between sequences aligned pairwise
Comparison of phylogenetic trees through alignment of embedded evolutionary distances
Inferring gene function from evolutionary change in signatures of translation efficiency